Job Description

We are seeking new colleagues to drive the design and delivery of advanced AI solutions across our Central AI Organization (APEX CAIO). This is an individual contributor role focused on strong technical execution, collaboration, and hands‑on development of enterprise‑grade AI products.

Our AI Engineering team is responsible for developing central products and services being reused across entire enterprise while shaping analytic and AI capabilities across the company. You will work alongside AI engineers, data scientists, product managers, and domain experts to build reliable, scalable AI systems and help elevate the organization's AI literacy and adoption.

This role is ideal for someone who enjoys solving technical problems, learning new AI technologies, and contributing to cross‑functional projects without direct people‑management responsibilities.

What Will You Do?

Technical Impact & Execution:

• Implement and improve AI systems, including generative AI and RAG‑based components

• Own well‑defined development tasks within larger AI workstreams

• Write high‑quality, maintainable code and follow engineering best practices

• Integrate language models, vector databases, retrieval components, and evaluation tools under guidance from senior engineers

• Contribute to model optimization for performance, reliability, and responsible AI use

• Participate in experimentation and iteration of RAG pipelines, prompt strategies, and model‑driven workflows

Cross-Functional Collaboration:

• Work with senior engineers, data scientists, platform teams, and SMEs to understand requirements and implement AI solutions

• Communicate technical progress, risks, and trade-offs clearly within the team

• Support adoption of AI products by collaborating with business and technical stakeholders

Thought Leadership & Strategy Contribution:

• Contribute to improving engineering maturity by sharing learnings and good practices

• Provide input into development of AI engineering patterns and operational guidelines

• Stay informed about emerging AI technologies and bring forward relevant ideas

• Help promote good observability, MLOps, and lifecycle management practices across AI systems

Ways of Working:

• Participate actively in Agile ceremonies and planning activities

• Provide input into technical prioritization and sprint planning

• Maintain strong standards of documentation, testing, and monitoring for AI components

Qualifications, Skills & Experience Required

Education & Experience:

• Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Computer Science, or a quantitative discipline

• relevant experience in software/AI engineering

• Experience contributing to production-grade AI or ML systems

Technical Expertise:

• Solid Python skills and experience building AI/ML pipelines

• Experience implementing AI solutions using cloud services, data pipelines, databases, APIs, and modern engineering tooling

• Hands-on exposure to RAG systems, LLMs, vector databases, prompt engineering, or generative AI applications

• Understanding of ML fundamentals (deep learning, optimization, evaluation, monitoring)

• Experience with CI/CD, testing practices, or MLOps concepts

• Ability to build and integrate RESTful APIs for AI-driven services

Nice to Have

• Experience with AWS or other cloud providers

• Work experience in Agile environments

• Experience with containerization (Docker) and orchestration tools

• Familiarity with prompt optimization or evaluation frameworks for generative AI

What We Offer

• Exciting work in a great team, global projects, international environment

• Opportunity to learn and grow professionally within the company globally

• Hybrid working model, flexible role pattern

• Pension and health insurance contributions

• Internal reward system plus referral program

• 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution

• Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card

• Vodafone, Raiffeisen Bank, Foodora, and other discount programs

• Up-to-date laptop and iPhone

• Parking in the garage for drivers or showers for bikers

• Competitive salary, incentive pay, and many more

Ready to take up the challenge?
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The date shown below is the earliest possible closing date for this posting. However, we sometimes extend the job posting period as needed, so please feel free to apply anytime you see the "Apply" button available. You may also reach out to the recruiter directly via https://www.linkedin.com/in/badumtss/

Required Skills: